What type of motivation is more effective: reward or punishment? In this study, the authors assess the effects of positive or negative on the math scores of sixth graders.
Read More...The Effect of Positive and Negative Reinforcement on Sixth Graders’ Mental Math Performance
What type of motivation is more effective: reward or punishment? In this study, the authors assess the effects of positive or negative on the math scores of sixth graders.
Read More...Fractal dimensions of crumpled paper
Here, beginning from an interest in fractals, infinitely complex shapes. The authors investigated the fractal object that results from crumpling a sheet of paper. They determined its fractal dimension using continuous Chi-squared analysis, thereby testing and validating their model against the more conventional least squares analysis.
Read More...Modeling the moving sofas in circular hallways using geometric methods
Investigation of the largest rigid shape that can be moved through a circular hallway of unit width with an arbitrary turn angle
Read More...Assessing CDK5 as a Nanomotor for Chemotactic Drug Delivery
Enzyme chemotaxis is a thermodynamic phenomenon in which enzymes move along a substrate concentration gradient towards regions with higher substrate concentrations and can be used to steer nanovehicles towards targets along natural substrate concentrations. In patients with Alzheimer’s disease, a gradient of tau protein forms in the bloodstream. Tau protein is a substrate of the enzyme CDK5, which catalyzes the phosphorylation of tau protein and can travel using chemotaxis along tau protein gradients to increasing concentrations of tau and amyloid-beta proteins. The authors hypothesized that CDK5 would be able to overcome these barriers of Brownian motion and developed a quantitative model using Michaelis-Menten kinetics to define the necessary parameters to confirm and characterize CDK5’s chemotactic behavior to establish its utility in drug delivery and other applications.
Read More...Comparison of the ease of use and accuracy of two machine learning algorithms – forestry case study
Machine learning algorithms are becoming increasingly popular for data crunching across a vast area of scientific disciplines. Here, the authors compare two machine learning algorithms with respect to accuracy and user-friendliness and find that random forest algorithms outperform logistic regression when applied to the same dataset.
Read More...Predicting sickle cell vaso-occlusion by microscopic imaging and modeling
The authors use blood smears from individuals with sickle cell disease to correlate sickle cell frequency with the occurrence of vaso-occlusive crises.
Read More...The impact of conceptual versus memorization-based teaching methods on student performance
The authors looked at how students performed on standardized tests when they were taught material via memorization vs. conceptual based approaches.
Read More...A 1D model of ultrasound waves for diagnosing of hepatomegaly and cirrhosis
The authors created a 1D model to diagnose hepatomegaly and cirrhosis via ultrasound of the liver.
Read More...Nanotexturing as a method to reduce dust accumulation on solar panels
Dust accumulation on solar panels can reduce electricity output by 20–50%, posing a major challenge for solar energy collection. Instead of altering panel design, we explored a simpler approach by modifying surface energy through nanotexturing, predicting that hydrophobic surfaces would repel both water and dust. This study found that treating glass and silicone surfaces with potassium hydroxide (KOH) for 13 and 10 minutes, respectively, created optimal nanotextures (445 nm for glass, 205 nm for silicone), significantly reducing dirt accumulation and improving solar energy capture.
Read More...Estimating the liquid jet breakdown height using dimensional analysis with experimental evidence
These authors mathematically deduce a model that explains the interesting (and unintuitive) physical phenomenon that occurs when water falls.
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